by codexstar69 · Claude Skill · ★ 541
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npx skills add codexstar69/bug-hunter
npm install -g @codexstar/bug-hunterTaken from the project's README on GitHub. Check the security audit before running it.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
One of 13 tools we ran end to end on the same task for our Code Review page (2026-10-10).
Result: Treats test files as context only, by design, so it does not report a weakened test. · found 7 of 8 planted defects · 0 false alarms on 4 clean pull requests · 0.8 findings per pull request · 3 min · reviewed by Claude Opus 5.5
| Stars | 541 |
| Forks | 67 |
| Language | JavaScript |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 69/100 |
| Open Issues | 1 |
| Last Updated | 2026-10-29 |
| Created | 2026-03-07 |
| Platforms | claude-code, cli, codex, node, vscode |
| Est. Tokens | ~15k |
Bug Hunter AI code review that argues with itself — adversarial multi-agent bug finding, security scanning, and auto-fix for any coding agent. = 18" Install · Quick Start · How It Works · What It Finds · Auto-Fix · CLI Reference Bug Hunter is an open-source AI code review and security vulnerability scanner that works as a skill/plugin for AI coding agents.
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: